Assessment: Administrative AI should be specialty-specific
Use of the tools to reduce burden has not been fully realized, say authors of product review
Orange, Calif. — Healthcare administration — managing finances, billing and fees, training, developing schedules and more — is expensive.
A recent assessment co-authored by Dr. Jason Samarasena, a gastroenterologist at the Chao Digestive Health Institute, examined 34 artificial intelligence products that could be used to reduce these costs, which account for 25% of healthcare spending. It was published in Clinical Gastroenterology and Hepatology.
Products were rated using the FAIR-AI scoring rubric: fairness, reliability, interpretability and accountability. The authors found that to reach their full potential in GI practice, AI products must be empirically validated, specialty specific and measure success by reduced administrative burden and time saved for patient care rather than revenue.
As an academic health system, UCI Health is committed to identifying the latest and most innovative ways to enhance patient care and advance medicine through careful research.
Samarasena specializes in treating gastrointestinal disorders, including gastroesophageal reflux disease, esophageal disease, pancreatic cysts, biliary tract disorders, gastric intestinal metaplasia and colorectal cancer.
He is also a professor of clinical medicine and chief of the Division of Gastroenterology & Hepatology at the UC Irvine School of Medicine.
Read the paper.
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